# residency-interview-prep > Mock interview preparation tool for residency Match interviews. Generates common behavioral and clinical scenario questions with structured response frameworks and feedback. - Author: Rowtion - Repository: aipoch/skills-collection - Version: 20260210095832 - Stars: 0 - Forks: 0 - Last Updated: 2026-02-10 - Source: https://github.com/aipoch/skills-collection - Web: https://mule.run/skillshub/@@aipoch/skills-collection~residency-interview-prep:20260210095832 --- --- name: residency-interview-prep description: Mock interview preparation tool for residency Match interviews. Generates common behavioral and clinical scenario questions with structured response frameworks and feedback. version: 1.0.0 category: Education tags: - residency - interview-prep - medical-education - match - career author: AIPOCH license: MIT status: Draft risk_level: Medium skill_type: Tool/Script owner: AIPOCH reviewer: '' last_updated: '2026-02-06' --- # Residency Interview Prep Residency interview preparation assistant for the NRMP Match process. ## Features - Behavioral question generation (STAR format) - Clinical scenario questions - Program-specific research questions - Response structure feedback - Common question bank (100+ questions) ## Input Parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `question_type` | str | Yes | Type: "behavioral", "clinical", "program", "ethical" | | `specialty` | str | No | Target specialty (e.g., "internal_medicine", "surgery") | | `experience` | str | No | User's experience context | ## Output Format ```json { "question": "string", "category": "string", "suggested_structure": "string", "key_points": ["string"], "common_pitfalls": ["string"] } ``` ## Risk Assessment | Risk Indicator | Assessment | Level | |----------------|------------|-------| | Code Execution | Python/R scripts executed locally | Medium | | Network Access | No external API calls | Low | | File System Access | Read input files, write output files | Medium | | Instruction Tampering | Standard prompt guidelines | Low | | Data Exposure | Output files saved to workspace | Low | ## Security Checklist - [ ] No hardcoded credentials or API keys - [ ] No unauthorized file system access (../) - [ ] Output does not expose sensitive information - [ ] Prompt injection protections in place - [ ] Input file paths validated (no ../ traversal) - [ ] Output directory restricted to workspace - [ ] Script execution in sandboxed environment - [ ] Error messages sanitized (no stack traces exposed) - [ ] Dependencies audited ## Prerequisites No additional Python packages required. ## Evaluation Criteria ### Success Metrics - [ ] Successfully executes main functionality - [ ] Output meets quality standards - [ ] Handles edge cases gracefully - [ ] Performance is acceptable ### Test Cases 1. **Basic Functionality**: Standard input → Expected output 2. **Edge Case**: Invalid input → Graceful error handling 3. **Performance**: Large dataset → Acceptable processing time ## Lifecycle Status - **Current Stage**: Draft - **Next Review Date**: 2026-03-06 - **Known Issues**: None - **Planned Improvements**: - Performance optimization - Additional feature support